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Exploring Artificial Intelligence in the Law Practice

Artificial intelligence will undoubtedly bring a profound impact to the future of law. Artificial intelligence is getting machines to do tasks that require intelligence when ordinarily done by humans. Application may seem difficult at the surface because of the complexities law often presents but law has a unique way of structuring it’s reasoning process. Common legal reasoning approaches use a concept called “stare decisis” which is latin for “stand by things decided.” This concept maintains our judicial system’s integrity and provides us a sense of predicability. This predicability can serve as a foundational  tool when constructing artificial intelligence for law. Furthermore, the law is exceptionally well documented, recorded, and codified. Utilizing the database effectively will also prove as another critical stepping stone.

However, the current issues that need to be address before any type implementation can prove to be successful in the law practice is finding a way that artificial intelligence can handle exceptions to rules. The problem is legal rules often may contradict therefore, simple logical deductions will not always be sufficient. Also, the same legal question itself, can draw an assortment of diverse opinions. The answer is never so rigid but rather loosely constructed so perhaps, if we could teach the system to create the type of answer that could somehow fit in a parameter that would be able adapt to a certain class of reasoning as stated in the prior paragraph then there is a possibility we could overcome this complication. A series of steps that could handle each of these intricacies combined with a more philosophical approach rather than the ordinary pure mathematical base will be necessary.

Another issue is the law itself is constantly changing rather it be because a different set up of Justices on the Court or inherent changes to society itself. Artificial intelligence will once again have to adapt to keep up with the constants shifts in society. The algorithms themselves will need to be perceptive to these gradual subtle changes over time and the dynamic ones too. This formidable challenge will require the most sophisticated systems. Therefore, it might make sense to find a way to teach the system how to interact with change by using history. Although, I believe the goal presently is to find ways where artificial intelligence can be applied successfully to change by testing it’s intelligence by comparing it to human results. Then drawing up a statistical analysis that can provide us a deeper understanding of the underlying patterns and trends which then can better inform us of where our current technological artificial intelligence stands today. However, these suggestions only illustrate a handful of ways that we can begin to tackle the problems we have in artificial intelligence, they’re of great importance, because the artificial intelligence emphasis in the legal profession will soon become inescapable.

-Vishal Noticewala